Quantitative UX Researcher

Quantitative UX Researchers conduct empirical research using methods from computer science, quantitative social science, statistics, econometrics, and other fields to understand user behavior and extract meaningful patterns from large data sets.

They partner with Designers, Product Managers, Engineers, and other stakeholders across the company to improve the user experience and drive product excellence. The research team covers all advertiser-facing products where advertisers create, monitor, manage, and optimize their advertising campaigns.

As a Quantitative UX Researcher, you combine skills in experimental design, statistical analysis, programming and human-computer interaction to improve the user experience

As a key member of a product team, you work with stakeholders across functions and levels

You solve challenging problems and empower the team to move forward by developing metrics, measuring results and integrating new methodologies into existing systems

You do more than just crunch numbers: through reports and team engagement, you provide a UX perspective on quantitative data to help stakeholders understand their users. Coming up with solutions is only one part of your job

Equally important is to identify and quantify problems, and to embark on new research areas worth exploring through innovative methods

You apply principles of rigorous and ethical research to build and improve products that satisfy users' needs and exceed their expectations

Overall Responsibilities

Support existing research initiatives, prioritize and drive research to quantify and improve the advertiser user experience

Support product development and design and provide confidence in decision making through thorough quantitative insights

Define and measure quantitative UX goals and metrics in collaboration with Designers, Qualitative Researchers, Engineers and Program Managers

Examine existing data and product designs to generate hypotheses and plans for high-impact research

Develop code and statistical models to understand user experience

Drive change by communicating findings to stakeholders in the company

Make research findings convincing and actionable for both research experts and non-experts

Facilitate high research impact through data visualization and novel research communication methods

Skill/Experience/EducationMandatory

Fluency in SQL

Mastery of R or Python

MS or PhD degree in Computer Science, Human-Computer Interaction, Psychology, Statistics or a related field

3 years of relevant work experience with User Experience or Human-Computer Interaction teams

Expertise in multivariate statistics and the design of experiments

Expertise in data visualization techniques and tools

Proficiency in programming computational and statistical algorithms for large data sets

Track record of demonstrating excellent command of research questions within a given domain, and of technical tools for the analysis of data within that field

Track record of communicating with cross-functional stakeholders of varying levels

Desired

Practical experience in research communication to technical and non-technical audiences